Exploring High School Students' Misconceptions in a Data Science Foundation Course (Poster 1)

• In Event: AERA Poster Session Thirteen
  In Poster Session: Exploring Topics in Computing and Engineering Education

Abstract

Computer science is not easy to learn. Novice programming learners often encounter mistakes and exhibit misconceptions. To help students develop accurate understandings, a number of studies examine students' programming mistakes, aiming to identify common errors or misconceptions that students have. However, most studies focus on introductory programming courses for Computer Science- or STEM-major college students, limited work has explored misconceptions in the context of K-12 computing education. This study reports high school students' misconception in a data science foundation course.

Authors

• Hanxiang Du, Western Washington University
  Presenting Author

• Wanli Xing, University of Florida
  Presenting Author

• yuanlin zhang, Texas Tech University
  Non-Presenting Author